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GitHub

new-agent

baglett

Create a new backend agent for the Claude Assistant Platform. Use when adding a new specialized agent, scaffolding an agent, or when the user says "create agent", "add agent", "new agent", or "scaffold agent".

GitHub

frontend-dev

baglett

Develop frontend features for the Claude Assistant Platform following established patterns. Use when implementing UI components, creating pages, adding stores, or when the user says "build UI", "add component",...

GitHub

add-tool

baglett

Add a new tool to an existing backend agent. Use when adding tool to agent, creating new agent capability, extending agent functionality, or when user says "add tool", "new tool", "agent capability", or "extend...

GitHub

local-dev

baglett

Run the Claude Assistant Platform locally for development. Use when starting local development, running services locally, testing locally, or when user says "run locally", "start dev", "local setup", "dev envir...

GitHub

hint-detection

rickoslyder

Detect hints about unreleased AI research or capabilities from lab researcher communications. Use when analyzing tweets, posts, or interviews from people at major AI labs to identify signals about upcoming work...

GitHub

hype-assessment

rickoslyder

Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism. Use after topic synthesis to identify which topics are overhyped, underhyped, or accurately assessed...

GitHub

topic-synthesis

rickoslyder

Synthesize claims across multiple sources to identify consensus, disagreements, and emerging narratives on AI research topics. Use when you have claims from both lab researchers and critics on the same topic an...

GitHub

claim-extraction

rickoslyder

Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions a...

GitHub

prediction-tracking

rickoslyder

Track and evaluate AI predictions over time to assess accuracy. Use when reviewing past predictions to determine if they came true, failed, or remain uncertain.

GitHub

digest-generation

rickoslyder

Generate a weekly AI intelligence digest from synthesized topic analyses and hype assessments. Use after synthesis and hype assessment to produce a readable, opinionated summary for sophisticated technical read...

GitHub

content-filter

rickoslyder

Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.

GitHub

quota-manager

rickoslyder

Manage Gemini Deep Research API quotas with rate limiting, exponential backoff, and client-side tracking. Use when handling API quota errors, implementing rate limiting, batch job submission, or when asked abou...

GitHub

archetype-designer

rickoslyder

Design and manage TraitorSim agent archetypes with OCEAN personality traits, stat biases, and gameplay profiles. Use when creating new archetypes, modifying personality traits, defining character types, or when...

GitHub

traitorsim-orchestrator

rickoslyder

Orchestrate complete TraitorSim workflows from persona generation to game execution and analysis. Use when starting new projects, running full pipelines, or when asked about complete workflows, end-to-end proce...

GitHub

memory-debugger

rickoslyder

Debug TraitorSim agent memory systems including profile.md, diary entries, trust matrices (suspects.csv), and SKILL.md files. Use when troubleshooting agent behaviors, inspecting memory contents, validating mem...

GitHub

persona-pipeline

rickoslyder

Generate AI agent personas with authentic backstories, demographics, and personality traits for TraitorSim. Use when creating new characters, generating personas, building character libraries, or when asked abo...

GitHub

decision-critic

loriensleafs

Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality.

GitHub

memory

loriensleafs

Unified four-tier memory system for AI agents. Tier 1 Semantic (Brain+Forgetful search), Tier 2 Episodic (session replay), Tier 3 Causal (decision patterns). Enables memory-first architecture per ADR-007.

GitHub

skillforge

loriensleafs

Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution l...

GitHub

prompt-engineer

loriensleafs

Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system...

GitHub

research-and-incorporate

loriensleafs

Research external topics, create comprehensive analysis, determine project applicability, and incorporate learnings into Brain memory system. Transforms knowledge into searchable, actionable project context.

GitHub

using-brain-memory

loriensleafs

Guidance for using Brain semantic memory effectively. Applies Zettelkasten atomic note principles with observations and relations. Use when deciding whether to query or create notes, structuring note content, o...

GitHub

exploring-knowledge-graph

loriensleafs

Guidance for deep knowledge graph traversal across notes, observations, and relations. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what do y...

GitHub

planner

loriensleafs

Interactive planning and execution for complex tasks. Use when breaking down multi-step projects (planning) or executing approved plans through delegation (execution). Planning creates milestones with specifica...

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